Cisco is hiring a Senior Data Scientist for its Bangalore-based Data Insights team. In this role, you will develop advanced machine learning models, leverage AI and generative AI techniques, and work with large-scale data systems using tools like Tableau, Snowflake, and Teradata. You’ll collaborate across functions to deliver impactful analytical solutions that inform strategic decisions and business growth.
Location: Bangalore, Karnataka, India
Area of Interest: Engineer - Software
Job Type: Professional
Technology Interest: Software Development
Job ID: 1443046
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As a Senior Data Scientist at Cisco, you will lead AI/ML-driven initiatives, create predictive and prescriptive models, and generate meaningful visual insights for stakeholders. You will also mentor junior team members and stay at the forefront of emerging data science technologies.
1. Design and implement sophisticated machine learning models to address complex business challenges.
2. Leverage AI methods and generative AI models to improve data analysis and forecasting capabilities.
3. Develop meaningful and interactive dashboards for stakeholders using Tableau and other visualization platforms.
4. Handle and fine-tune large-scale datasets within Snowflake and Teradata environments.
5. Work closely with cross-functional teams to interpret business requirements and translate them into analytical frameworks.
6. Keep abreast of emerging trends and developments in data science, AI, and machine learning fields.
7. Provide mentorship to junior data scientists and encourage a culture of ongoing learning and innovation.
8. Clearly communicate intricate analytical insights and concepts to non-technical audiences.
1. Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc.
2. AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc.
3. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc.
4. Databases: Snowflake, Teradata, SQL, NoSQL databases.
5. Programming Languages: Python (essential), R, SQL.
6. Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc.
7. Data Processing: ETL processes, data warehousing, data lakes.
8. Cloud Platforms: AWS, Azure, Google Cloud Platform.
1. Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
2. Minimum of 7-12 years of professional experience as a Data Scientist or in a comparable role.
3. Demonstrated success in designing and deploying machine learning models and AI-driven solutions.
4. Deep proficiency in data visualization tools, especially Tableau.
5. Comprehensive experience working with Snowflake and Teradata databases.
6. Strong analytical thinking and the ability to work both independently and collaboratively.
7. Excellent communication skills for articulating complex ideas with clarity.
1. Excellent verbal and written communication abilities for effective collaboration within cross-functional teams.
2. Skilled in converting business problems into implementable technical solutions.
3. Strong analytical mindset with experience working on complex datasets.
4. Proficient in applying statistical and machine learning techniques.
5. Familiarity with business domains such as sales, finance, marketing, and telemetry.
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